Ep 833: RSI Explained: When AI Starts Improving Itself and What It Means

Intelligence too cheap to meter -- could that actually be coming? 🤑

Maybe, and you mighta missed one of the biggest signs.

OpenAI said that its own model improved itself after release so well, that it was cutting prices to one model by 80%.

What's that mean?

Well, by definition, it's a broad example of Recursive Self Improvement, or when a model starts building better versions of itself.

And over the past 8 weeks, RSI has gone from a science fiction future to an actual, near-term reality.

So what happened and what changed? And what does it mean for your company?

We break it all down.

RSI Explained: When AI Starts Improving Itself and What It Means -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:
• OpenAI's GPT-5.6 Soul Self-Improvement
• Recursive Self-Improvement (RSI) Definition & Impact
• Cutting AI Model Costs by 80%
• Timeline Acceleration for RSI Adoption
• Google and Anthropic's RSI Research Initiatives
• AI Automation: Building and Training AI Models
• Industry Call for Slowing Down AI Pace
• Superintelligence, AGI, and the Singularity Discussion
• Practical Implications of RSI for Businesses
• Security and Oversight Concerns with Self-Improving AI

Timestamps:

00:00 AI self-improvement and price cuts
06:33 AI startup funding and regulation concerns
09:14 AI misconceptions and public disconnect
11:29 Advancements in AI self-improvement
16:16 Development of AI Models
21:07 Sam Altman on reaching singularity
23:04 Entering the AI singularity era
26:37 Advancements in AI models
30:43 China's advancements in AI models
34:24 AI self-improvement and containment issues
37:01 Planning for AI cost reduction
40:00 AI controlling other AIs with GBD 5.6
42:46 Closing and subscription reminder

Keywords:
Recursive self improvement, RSI, AI self-improvement, AI improves itself, agentic AI, token efficiency, token maxing, OpenAI, GPT-5.6 Soul, Luna model, AI cost reduction, post-training, AI automation, automated AI researcher, Anthropic, Claude Code, Codex, Google DeepMind, AGI, Artificial General Intelligence, Superintelligence, Artificial Superintelligence, ASI, Singularity, Sam Altman, AI acceleration, AI research automation, Frontier Labs, Pacing the Frontier, AWS compute deal, capital expenditures, data centers, CapEx, model distillation, small language models, AI capabilities, AI benchmarks, model variants, model efficiency, AI safety, technology acceleration, AI containment, AI security, open source AI, AI deployment, technology disruption, modular AI systems, price reduction AI, AI industry, AI timeline, human oversight AI, AI risk management, AI regulation.
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